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pro vyhledávání: '"ZHAO Hailiang"'
Autor:
ZHAO Hailiang
Publikováno v:
Jiaoshi jiaoyu xuebao, Vol 11, Iss 4, Pp 76-85 (2024)
Teacher educators' professional practice is a manifestation of their professional behavioral choices and actions in practice. To explore the core elements and specific patterns of teacher educators' professional practice under the influence of differ
Externí odkaz:
https://doaj.org/article/86596484622e44168c3672f025dd6488
In this paper, we study learning-augmented algorithms for the Bahncard problem. The Bahncard problem is a generalization of the ski-rental problem, where a traveler needs to irrevocably and repeatedly decide between a cheap short-term solution and an
Externí odkaz:
http://arxiv.org/abs/2410.15257
This paper investigates a data-locality-aware task assignment and scheduling problem aimed at minimizing job completion times for distributed job executions. Without prior knowledge of future job arrivals, we propose an optimal balanced task assignme
Externí odkaz:
http://arxiv.org/abs/2407.08584
In the resource-constrained IoT-edge environment, Split Federated (SplitFed) learning is implemented to enhance training efficiency. This method involves each IoT device dividing its full DNN model at a designated layer into a device-side model and a
Externí odkaz:
http://arxiv.org/abs/2402.06123
In the realm of edge computing, the increasing demand for high Quality of Service (QoS), particularly in dynamic multimedia streaming applications (e.g., Augmented Reality/Virtual Reality and online gaming), has prompted the need for effective soluti
Externí odkaz:
http://arxiv.org/abs/2312.16883
Publikováno v:
E3S Web of Conferences, Vol 194, p 04042 (2020)
In order to analyze the ecological risk of the heavy metals in road dust. The improved potential ecological risk index was established. In the improved method, the toxicity of different chemical speciations of heavy metals were considered. Since resi
Externí odkaz:
https://doaj.org/article/0232f35327b049cdbda07bbb624a5b38
Cloud providers can greatly benefit from accurate workload prediction. However, the workload of cloud servers is highly variable, with occasional heavy workload bursts. This makes workload prediction challenging. There are mainly two categories of wo
Externí odkaz:
http://arxiv.org/abs/2308.01917
Autor:
Deng, Shuiguang, Zhao, Hailiang, Huang, Binbin, Zhang, Cheng, Chen, Feiyi, Deng, Yinuo, Yin, Jianwei, Dustdar, Schahram, Zomaya, Albert Y.
The development of cloud computing delivery models inspires the emergence of cloud-native computing. Cloud-native computing, as the most influential development principle for web applications, has already attracted increasingly more attention in both
Externí odkaz:
http://arxiv.org/abs/2306.14402
Autor:
Zhao, Hailiang, Deng, Shuiguang, Xiang, Zhengzhe, Yan, Xueqiang, Yin, Jianwei, Dustdar, Schahram, Zomaya, Albert Y.
Multi-server jobs that request multiple computing resources and hold onto them during their execution dominate modern computing clusters. When allocating the multi-type resources to several co-located multi-server jobs simultaneously in online settin
Externí odkaz:
http://arxiv.org/abs/2305.06572
Autor:
Zhao, Hailiang, Deng, Shuiguang, Chen, Feiyi, Yin, Jianwei, Dustdar, Schahram, Zomaya, Albert Y.
Multi-server jobs are imperative in modern cloud computing systems. A noteworthy feature of multi-server jobs is that, they usually request multiple computing devices simultaneously for their execution. How to schedule multi-server jobs online with a
Externí odkaz:
http://arxiv.org/abs/2204.04371